Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method performed by an encoder of a base station system of a wireless communication network, for handling a bit stream for transmission over a transmission link between a remote unit and a base unit of the base station system, the remote unit being arranged to transmit wireless signals to and receive from mobile stations, the bit stream comprising a first OFDM symbol and a second OFDM symbol, each OFDM symbol comprising a number of consecutive IQ samples, the method comprising: for a first number of the IQ samples situated at a boundary between the first and the second OFDM symbol, transmitting, over the transmission link to a decoder of the base station system, the first number of IQ samples having a representation spanning a first amplitude range; for a second number of IQ samples of the second OFDM symbol following the first number of IQ samples, converting, using a predictive filter, individual of the second number of IQ samples to IQ prediction errors, where the IQ prediction errors have a representation spanning a second amplitude range that is smaller than the first amplitude range; and transmitting the IQ prediction errors over the transmission link to the decoder.
This invention relates to wireless communication systems, specifically methods for efficiently transmitting orthogonal frequency-division multiplexing (OFDM) symbols between a remote unit and a base unit in a base station system. The problem addressed is the bandwidth and power consumption associated with transmitting high-resolution IQ samples of OFDM symbols over the transmission link between these units. The solution involves a hybrid approach where boundary samples of consecutive OFDM symbols are transmitted in full resolution, while subsequent samples are converted into prediction errors using a predictive filter, reducing the amplitude range and thus the required transmission resources. The method begins by transmitting a first set of IQ samples located at the boundary between two consecutive OFDM symbols in their original form, spanning a full amplitude range. For the remaining samples of the second OFDM symbol, a predictive filter generates IQ prediction errors, which have a reduced amplitude range compared to the original samples. These prediction errors are then transmitted instead of the full-resolution samples. This approach minimizes the data rate and power consumption for the transmission link while maintaining signal integrity, particularly for samples beyond the boundary region. The predictive filter leverages temporal correlations in the OFDM symbol to achieve efficient compression. The decoder reconstructs the original samples by applying the inverse prediction process to the received errors. This technique is particularly useful in distributed antenna systems where minimizing backhaul link overhead is critical.
2. The method of claim 1 , wherein the representation of the first number of IQ samples spanning a first amplitude range signifies that the first number of IQ samples are transmitted un-coded.
The invention relates to wireless communication systems, specifically to methods for transmitting and representing IQ (In-phase and Quadrature) samples in a manner that optimizes data transmission efficiency. The problem addressed is the need to efficiently transmit IQ samples while minimizing computational overhead and ensuring accurate signal representation. The method involves generating a representation of a first set of IQ samples that span a first amplitude range. This representation indicates that the first set of IQ samples are transmitted in an un-coded form, meaning they are sent without additional error correction or encoding. By transmitting these samples un-coded, the system avoids the computational and bandwidth overhead associated with encoding and decoding processes, which is particularly beneficial when the signal quality is high and error rates are low. The method also includes generating a representation of a second set of IQ samples that span a second amplitude range, which is different from the first. This second representation signifies that the second set of IQ samples are transmitted in a coded form, meaning they undergo error correction or encoding before transmission. This approach ensures that samples with higher susceptibility to errors or noise are protected, while samples with lower error risk are transmitted more efficiently. The system dynamically adjusts the transmission mode (coded or un-coded) based on the amplitude range of the IQ samples, optimizing both bandwidth usage and signal integrity. This adaptive approach improves overall communication efficiency in wireless systems.
3. The method of claim 1 , wherein the representation of the first number of IQ samples spanning a first amplitude range signifies that the first number of IQ samples are quantized with a first number of bits before being transmitted, and wherein the IQ prediction errors of the second number of IQ samples are quantized with fewer bits than the first number of bits.
This invention relates to wireless communication systems, specifically to methods for efficiently transmitting and quantizing in-phase and quadrature (IQ) samples to reduce data transmission overhead. The problem addressed is the high bandwidth and power consumption associated with transmitting unprocessed IQ samples, which are used in signal processing for wireless communications. The method involves representing a first set of IQ samples spanning a specific amplitude range with a first quantization level, indicating that these samples were quantized using a first number of bits before transmission. A second set of IQ samples, representing prediction errors from the first set, are quantized with fewer bits than the first number. This approach leverages the fact that prediction errors typically have lower amplitude ranges, allowing for reduced bit depth without significant loss of signal quality. By dynamically adjusting the quantization levels based on the amplitude range of the samples, the method minimizes the total number of bits required for transmission, thereby improving efficiency in wireless communication systems. The technique is particularly useful in scenarios where bandwidth and power constraints are critical, such as in mobile devices or high-density wireless networks.
4. The method of claim 1 , further comprising, for the second number of IQ samples: applying an entropy encoding on the IQ prediction errors, and wherein the transmission of IQ prediction errors comprises transmitting the entropy encoded IQ prediction errors to the decoder.
This invention relates to wireless communication systems, specifically to methods for efficiently transmitting IQ (In-phase and Quadrature) samples between a transmitter and a receiver. The problem addressed is the high data rate required for transmitting raw IQ samples, which consumes significant bandwidth and computational resources. The solution involves predicting IQ samples at the transmitter, computing prediction errors, and transmitting only these errors to the receiver, reducing the amount of data sent. The method includes generating a first set of IQ samples at the transmitter, predicting a second set of IQ samples based on the first set, and computing prediction errors between the actual and predicted IQ samples. The prediction errors are then transmitted to the receiver, where they are used to reconstruct the original IQ samples. To further reduce transmission overhead, the prediction errors are entropy encoded before transmission, and the encoded errors are sent to the decoder for reconstruction. The entropy encoding step compresses the prediction errors by exploiting statistical redundancies, minimizing the number of bits required for transmission. The receiver decodes the entropy-encoded errors and reconstructs the original IQ samples using the received errors and locally generated predictions. This approach significantly reduces the bandwidth and computational overhead compared to transmitting raw IQ samples. The method is particularly useful in high-data-rate wireless systems where efficient transmission of IQ samples is critical.
5. The method of claim 4 , wherein a dictionary used for the entropy encoding is pre-set and kept un-changed for the bit stream.
This invention relates to data compression, specifically entropy encoding techniques used in video or image compression systems. The problem addressed is the inefficiency of dynamically adapting encoding dictionaries during compression, which can lead to increased computational overhead and reduced compression performance. The solution involves using a pre-set, fixed dictionary for entropy encoding throughout the entire bitstream, ensuring consistency and avoiding the need for frequent dictionary updates. The method involves selecting a pre-defined dictionary that maps symbols to variable-length codes based on their statistical frequency. This dictionary remains unchanged during the encoding process, eliminating the need for dynamic updates. The fixed dictionary is applied uniformly across the entire bitstream, ensuring that the same encoding rules are used for all data segments. This approach simplifies the encoding and decoding processes, reduces computational complexity, and improves compression efficiency by avoiding the overhead of dictionary adaptation. The invention is particularly useful in systems where real-time processing is critical, such as video streaming or high-speed data transmission, where minimizing computational overhead is essential. By maintaining a static dictionary, the method ensures predictable performance and reduces the risk of encoding inconsistencies that can arise from dynamic dictionary adjustments. The fixed dictionary can be optimized beforehand to maximize compression efficiency for the specific type of data being processed.
6. The method of claim 1 , wherein the converting of individual of the second number of IQ samples comprises: determining a prediction of one sample of the second IQ samples based on one or more previous IQ samples immediately before the one sample; and calculating a prediction error as a difference between the determined prediction of the one IQ sample and an original value of the one IQ sample.
This invention relates to signal processing, specifically methods for compressing IQ (In-phase and Quadrature) samples in communication systems. The problem addressed is the need to efficiently reduce the data rate of IQ samples while preserving signal integrity, which is critical for applications like software-defined radio, wireless communications, and signal recording systems. The method involves converting a first set of IQ samples into a second set of compressed IQ samples. The conversion process includes predicting each sample in the second set based on one or more preceding samples. A prediction error is then calculated as the difference between the predicted sample value and its original value. This error is used to represent the sample in a compressed form, reducing the amount of data needed for transmission or storage. The prediction step leverages temporal correlations in the IQ samples, allowing for efficient compression without significant loss of signal quality. The technique is particularly useful in scenarios where bandwidth or storage constraints limit the transmission or storage of raw IQ samples. By focusing on prediction errors rather than raw sample values, the method achieves compression while maintaining the ability to reconstruct the original signal with minimal distortion. The approach is adaptable to various modulation schemes and signal types, making it versatile for different communication and signal processing applications.
7. The method of claim 1 , wherein the second OFDM symbol comprises a plurality of blocks of IQ samples, and wherein for a first IQ sample of each block following a block border between two consecutive blocks, the first sample of each block is transmitted uncoded to the decoder.
This invention relates to orthogonal frequency-division multiplexing (OFDM) communication systems, specifically addressing the challenge of maintaining synchronization and data integrity when transmitting OFDM symbols divided into multiple blocks of IQ samples. In OFDM systems, symbols are often segmented into blocks for processing, but this can introduce errors at block boundaries due to coding and decoding operations. The invention improves reliability by ensuring that the first IQ sample of each block following a block border is transmitted uncoded to the decoder. This approach prevents errors from propagating across block transitions by preserving the original sample values without applying error-correcting codes. The method applies to OFDM symbols that are divided into multiple blocks, where each block contains a sequence of IQ samples. By transmitting the first sample of each block in its raw form, the decoder can accurately reconstruct the signal without distortion caused by coding artifacts at block boundaries. This technique is particularly useful in high-speed communication systems where maintaining signal integrity across block divisions is critical for reliable data transmission. The invention enhances synchronization and reduces bit error rates in OFDM-based communication systems by mitigating the effects of block-based processing on signal quality.
8. The method of claim 1 , wherein filter coefficients of the predictive filter are pre-set and kept un-changed for the bit stream.
This invention relates to digital signal processing, specifically to predictive filtering techniques used in data compression or transmission systems. The problem addressed is the computational inefficiency and complexity of dynamically adjusting filter coefficients in predictive filters, which can lead to increased processing overhead and latency in real-time applications. The invention describes a predictive filtering method where the filter coefficients are pre-set and remain fixed throughout the processing of a bit stream. This approach eliminates the need for real-time coefficient adaptation, reducing computational complexity and improving processing speed. The predictive filter operates by applying these pre-set coefficients to input data samples to generate predicted values, which are then used to encode or decode the data stream. By maintaining constant coefficients, the system ensures consistent performance without the overhead of coefficient recalculation, making it suitable for applications requiring low-latency processing, such as audio, video, or communication systems. The fixed coefficients can be optimized offline for specific data characteristics, ensuring efficient prediction without runtime adjustments. This method simplifies implementation while maintaining prediction accuracy for certain types of signals.
9. The method of claim 1 , further comprising: scaling the IQ prediction errors based on a scaling factor.
A system and method for improving signal processing in communication systems, particularly for correcting in-phase and quadrature (IQ) imbalances in received signals. IQ imbalances occur when the in-phase and quadrature components of a signal are not perfectly aligned or balanced, leading to distortion and reduced performance in wireless communication systems. The invention addresses this by predicting IQ prediction errors and applying corrections to mitigate these imbalances. The method involves generating a predicted IQ error signal based on a received signal and a reference signal. The predicted IQ error signal is then used to correct the received signal, improving signal quality. Additionally, the IQ prediction errors are scaled by a scaling factor to optimize the correction process. This scaling factor can be dynamically adjusted to enhance accuracy and adapt to varying signal conditions. The system may also include a feedback loop to continuously refine the correction process, ensuring real-time adjustments for optimal performance. By scaling the IQ prediction errors, the method ensures that corrections are proportionally applied, preventing overcorrection or undercorrection. This approach enhances the reliability and efficiency of signal processing in communication systems, particularly in environments with high interference or signal degradation. The invention is applicable to various wireless communication technologies, including 5G, LTE, and other advanced modulation schemes.
10. A computer program product comprising a non-transitory computer readable medium storing instructions for causing an encoder to perform the method of claim 1 .
This invention relates to video encoding and addresses the problem of efficiently compressing video data while maintaining high quality. The system involves a computer program product with a non-transitory computer-readable medium storing instructions for an encoder. The encoder processes video data by performing a series of operations to reduce redundancy and improve compression efficiency. These operations include analyzing the video content to identify patterns, applying predictive coding techniques to minimize data size, and optimizing bit allocation to balance quality and compression. The encoder may also use motion estimation and compensation to reduce temporal redundancy between frames. Additionally, the system may employ quantization and entropy coding to further compress the data. The instructions stored on the medium guide the encoder through these steps, ensuring efficient video compression while preserving visual quality. The solution is particularly useful in applications requiring high compression rates, such as streaming services or video storage systems, where bandwidth and storage constraints are critical. The invention aims to improve upon existing encoding methods by optimizing the encoding process for better performance and resource utilization.
11. A method performed by a decoder of a base station system of a wireless communication network, for handling a bit stream for reception over a transmission link between a remote unit and a base unit of the base station system, the remote unit being arranged to transmit wireless signals to and receive from mobile stations, the bit stream comprising a first OFDM symbol and a second OFDM symbol, each OFDM symbol comprising a number of consecutive IQ samples, the method comprising: for a first number of the IQ samples situated at a boundary between the first and the second OFDM symbol, receiving, over the transmission link from an encoder of the base station system, the first number of IQ samples having a representation spanning a first amplitude range, for a second number of IQ samples of the second OFDM symbol following the first number of IQ samples, receiving, over the transmission link from the encoder, IQ prediction errors representing the second number of IQ samples, the IQ prediction errors having a representation spanning a second amplitude range that is smaller than the first amplitude range, and converting, using a recovery predictive filter, individual of the IQ prediction errors to estimations of individual of the second number of IQ samples.
This invention relates to wireless communication systems, specifically to methods for efficiently handling bit streams in a base station system to reduce transmission overhead. The problem addressed is the high bandwidth and power consumption associated with transmitting Orthogonal Frequency-Division Multiplexing (OFDM) symbols between a remote unit and a base unit in a base station system. The remote unit communicates with mobile stations, and the transmission link between the remote unit and base unit carries OFDM symbols composed of consecutive IQ samples. The method involves processing a bit stream containing a first and second OFDM symbol. For a first set of IQ samples at the boundary between the two symbols, the decoder receives the samples directly, represented with a full amplitude range. For the remaining IQ samples in the second symbol, the decoder receives only prediction errors, which are encoded with a smaller amplitude range to reduce data volume. A recovery predictive filter then converts these prediction errors back into estimated IQ samples. This approach minimizes the amount of data transmitted over the link while maintaining signal integrity, particularly for samples where prediction errors are small. The encoder and decoder work together to apply this selective compression, improving efficiency in fronthaul or backhaul communication within the base station system.
12. The method of claim 11 , wherein the IQ prediction errors are received entropy encoded from the encoder, and the method further comprises, for the second number of IQ samples, applying an entropy decoding on the entropy encoded IQ prediction errors.
This invention relates to signal processing, specifically to methods for handling IQ (In-phase and Quadrature) prediction errors in communication systems. The problem addressed is the efficient transmission and reconstruction of IQ data, particularly in scenarios where prediction errors need to be encoded and decoded to reduce bandwidth or storage requirements. The method involves receiving IQ prediction errors that have been entropy encoded by an encoder. Entropy encoding is a lossless data compression technique that reduces redundancy in the data. The method then applies entropy decoding to the received entropy-encoded IQ prediction errors to reconstruct the original prediction errors. This decoding step is performed for a specified number of IQ samples, allowing the system to process and reconstruct the IQ data accurately. The method ensures that the decoded IQ prediction errors can be used to reconstruct the original IQ data by reversing the compression applied during encoding. This approach is particularly useful in applications where bandwidth or storage efficiency is critical, such as in wireless communications, digital broadcasting, or signal processing systems. By using entropy encoding and decoding, the method minimizes the amount of data that needs to be transmitted or stored while maintaining the integrity of the IQ data.
13. The method of claim 11 , wherein the converting of individual of the IQ prediction errors to second number of IQ samples comprises: determining a prediction of one sample of the second IQ samples based on one or more determined previous IQ samples immediately before the one sample, and a received prediction error.
The invention relates to signal processing, specifically improving the accuracy of IQ (In-phase and Quadrature) signal prediction in communication systems. The problem addressed is the need for efficient and accurate reconstruction of IQ samples from prediction errors, which are often transmitted or stored to reduce data redundancy. Traditional methods may suffer from inaccuracies due to improper handling of prediction errors, leading to degraded signal quality. The method involves converting a set of IQ prediction errors into a second set of IQ samples. This conversion process includes predicting a single sample in the second set by using one or more previously determined IQ samples that immediately precede the sample being predicted, along with a received prediction error. The prediction error is applied to refine the predicted sample, ensuring higher accuracy in the reconstructed signal. This approach leverages temporal correlations in the IQ signal to enhance prediction performance, reducing the need for excessive error correction data. The method is particularly useful in applications where bandwidth or storage efficiency is critical, such as wireless communications, digital broadcasting, or signal compression. By accurately reconstructing IQ samples from prediction errors, the system achieves better signal fidelity while minimizing data overhead. The technique can be integrated into existing signal processing pipelines to improve performance without significant architectural changes.
14. The method of claim 11 , wherein the second OFDM symbol comprises a plurality of blocks of IQ samples, and wherein for a first IQ sample of each block, following a block border between two consecutive blocks, the first sample of each block is received uncoded from the encoder.
This invention relates to wireless communication systems, specifically to methods for processing Orthogonal Frequency-Division Multiplexing (OFDM) symbols in a receiver. The problem addressed is improving the reliability of data transmission by managing the encoding and decoding of IQ (In-phase and Quadrature) samples in OFDM symbols, particularly at block boundaries where errors are more likely to occur. The method involves processing a second OFDM symbol that contains multiple blocks of IQ samples. Each block begins with a first IQ sample that is intentionally left uncoded by the encoder. This means the first sample of each block is transmitted in its raw form without error correction encoding, while the remaining samples in the block are encoded. By leaving the first sample uncoded, the receiver can more reliably detect the block boundary and synchronize with the incoming data stream, reducing the risk of errors propagating across block transitions. This approach is particularly useful in scenarios where channel conditions or interference may cause misalignment or corruption of the OFDM symbol structure. The method ensures that critical synchronization points remain robust, even if other parts of the symbol are affected by noise or interference.
15. The method of claim 11 , wherein filter coefficients of the recovery predictive filter are pre-set to the same values as filter coefficients of a predictive filter at the encoder, and kept un-changed for the bit stream.
This invention relates to digital signal processing, specifically improving the efficiency of predictive coding in audio or video compression systems. The problem addressed is the computational overhead and potential inaccuracies in adaptive filtering during signal reconstruction at the decoder, which can degrade quality or increase processing time. The method involves using a recovery predictive filter at the decoder with pre-set filter coefficients. These coefficients are identical to those of the predictive filter used at the encoder, ensuring consistency between encoding and decoding stages. Unlike adaptive filters that adjust coefficients dynamically, this approach fixes the filter coefficients for the entire bitstream, eliminating the need for real-time coefficient updates. This reduces computational complexity at the decoder while maintaining signal fidelity, as the pre-set coefficients are optimized during encoding to match the characteristics of the input signal. The predictive filter at the encoder analyzes the input signal to generate prediction residuals, which are then encoded and transmitted. The decoder uses the same filter coefficients to reconstruct the signal from the residuals, ensuring accurate recovery without additional processing. This technique is particularly useful in low-power or real-time applications where minimizing decoder complexity is critical. The fixed coefficients approach also simplifies implementation, as it avoids the need for feedback loops or iterative adjustments typically required in adaptive filtering systems.
16. The method of claim 11 , further comprising re-scaling the IQ prediction errors based on an inverse of a scaling factor used at the encoder.
This invention relates to error correction in communication systems, specifically addressing the challenge of accurately predicting and correcting IQ (in-phase and quadrature) signal errors in encoded data. The method involves generating an initial IQ prediction error at the decoder, which is then re-scaled using an inverse of the scaling factor applied at the encoder. This re-scaling step ensures that the prediction error is accurately aligned with the original signal characteristics, improving the fidelity of the decoded signal. The process includes encoding the original signal with a scaling factor to optimize transmission efficiency, transmitting the encoded signal, and then decoding it while compensating for any distortions introduced during transmission. The re-scaling of the IQ prediction errors corrects for discrepancies caused by the initial scaling, enhancing the accuracy of the reconstructed signal. This technique is particularly useful in high-frequency communication systems where signal integrity is critical, such as in wireless and satellite communications. By dynamically adjusting the prediction errors, the method ensures robust error correction and maintains signal quality under varying channel conditions. The invention improves upon existing error correction methods by incorporating adaptive scaling, which reduces computational overhead while enhancing performance.
17. A computer program product comprising a non-transitory computer readable medium storing instructions for causing a decoder to perform the method of claim 11 .
This invention relates to video decoding, specifically improving efficiency in decoding video streams. The problem addressed is the computational overhead in video decoding, particularly when handling complex video data structures. The solution involves a computer program product that includes a non-transitory computer-readable medium storing instructions for a decoder. When executed, these instructions cause the decoder to perform a method for decoding video data. The method includes receiving a video bitstream containing encoded video data, parsing the bitstream to extract syntax elements, and reconstructing video frames based on the parsed syntax elements. The method also involves applying motion compensation, intra-prediction, and other decoding techniques to reconstruct the video frames accurately. The instructions further enable the decoder to handle various video coding standards, such as H.264, H.265 (HEVC), or other advanced codecs, by interpreting the syntax elements and applying the appropriate decoding processes. The goal is to optimize the decoding process, reducing computational complexity while maintaining high-quality video reconstruction. The invention may also include additional features such as error resilience, adaptive bitrate handling, and support for scalable video coding. The overall aim is to enhance the efficiency and performance of video decoding systems, particularly in resource-constrained environments.
18. An encoder operable in a base station system of a wireless communication network, for handling a bit stream for transmission over a transmission link between a remote unit and a base unit of the base station system, the remote unit being arranged to transmit wireless signals to and receive wireless signals from mobile stations, the bit stream comprising a first OFDM symbol and a second OFDM symbol, each OFDM symbol comprising a number of consecutive IQ samples, the encoder comprising a processor and a memory, said memory containing instructions executable by said processor, whereby the encoder is operative for: for a first number of the IQ samples, situated at a boundary between the first and the second OFDM symbol, transmitting, over the transmission link to a decoder of the base station system, the first number of IQ samples having a representation spanning a first amplitude range, for a second number of IQ samples of the second OFDM symbol, following the first number of IQ samples, converting, using a predictive filter, individual of the second number of IQ samples to IQ prediction errors, where the IQ prediction errors have a representation spanning a second amplitude range that is smaller than the first amplitude range, and transmitting the IQ prediction errors over the transmission link to the decoder.
This invention relates to an encoder in a wireless communication network, specifically for handling bit streams transmitted between a remote unit and a base unit in a base station system. The remote unit communicates with mobile stations via wireless signals, and the bit stream includes Orthogonal Frequency-Division Multiplexing (OFDM) symbols, each composed of consecutive IQ (In-phase and Quadrature) samples. The encoder processes the bit stream by transmitting a first set of IQ samples at the boundary between two consecutive OFDM symbols in their original form, covering a first amplitude range. For the remaining IQ samples in the second OFDM symbol, the encoder applies a predictive filter to convert these samples into IQ prediction errors. These errors span a smaller amplitude range compared to the original samples, reducing the data volume. The encoder then transmits these compressed prediction errors over the transmission link to a decoder in the base station system. This approach optimizes data transmission efficiency by reducing the amplitude range of transmitted data while preserving signal integrity, particularly at symbol boundaries where phase discontinuities may occur. The predictive filtering technique minimizes redundancy, improving bandwidth utilization in wireless communication networks.
19. A decoder operable in a base station system of a wireless communication network, for handling a bit stream for reception over a transmission link between a remote unit and a base unit of the base station system, the remote unit being arranged to transmit wireless signals to and receive wireless signals from mobile stations, the bit stream comprising a first OFDM symbol and a second OFDM symbol, each OFDM symbol comprising a number of consecutive IQ samples, the decoder comprising a processor and a memory, said memory containing instructions executable by said processor, whereby the decoder is operative for: for a first number of the IQ samples, situated at a boundary between the first and the second OFDM symbol, receiving, over the transmission link from an encoder of the base station system, the first number of IQ samples having a representation spanning a first amplitude range, for a second number of IQ samples of the second OFDM symbol, following the first number of IQ samples, receiving, over the transmission link from the encoder, IQ prediction errors representing the second number of IQ samples, the IQ prediction errors having a representation spanning a second amplitude range that is smaller than the first amplitude range, and converting, using a recovery predictive filter, individual of the IQ prediction errors to estimations of individual of the second number of IQ samples.
This invention relates to a decoder in a wireless communication network base station system, specifically for handling bit streams transmitted between a remote unit and a base unit. The remote unit communicates with mobile stations via wireless signals, and the bit stream includes Orthogonal Frequency-Division Multiplexing (OFDM) symbols, each composed of consecutive IQ (In-phase and Quadrature) samples. The decoder processes these samples to reconstruct the transmitted data efficiently. The decoder receives a first set of IQ samples at the boundary between two consecutive OFDM symbols, where these samples are transmitted in their full amplitude range. For the remaining IQ samples in the second OFDM symbol, the decoder receives only IQ prediction errors instead of the full samples. These prediction errors have a reduced amplitude range compared to the full samples, allowing for more efficient transmission. The decoder then uses a recovery predictive filter to convert these prediction errors back into estimates of the original IQ samples. This approach reduces the amount of data transmitted over the link while maintaining signal integrity. The decoder includes a processor and memory, with the memory storing instructions to execute the described operations. The system improves bandwidth efficiency in wireless communication networks by minimizing the data transmitted for OFDM symbols while ensuring accurate signal reconstruction.
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December 1, 2020
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